Deploying Kafka with CNDI on GCP is the most flexible way to run your cluster. Managing your Kafka cluster through CNDI gives you more control over your system. With CNDI and Strimzi you won't be locked out of features of performance, unlike Confluent Cloud or Google Cloud Managed Service for Apache Kafka. Thanks to GitOps, changing your cluster infrastructure or config is as simple as making a Pull Request.
GCP’s official managed Kubernetes Service. Running your Kafkacluster with GKE provides a clean management experience at a great cost. GKE is the most popular way to run Kubernetes on GCP and it's a great choice for new projects thanks to it's easy to use interface.
Apache Kafka is a high-performance and distributed streaming platform designed to handle real-time data feeds and processing at scale, known for its fault-tolerant architecture and low-latency event streaming capabilities. Kafka enables the efficient and reliable transfer of data streams across applications, allowing organizations to build robust, event-driven architectures for processing and analyzing data in real-time, making it a popular choice for building modern data pipelines and streaming applications.
Apache Kafka is a high-performance and distributed streaming platform built for developers and organizations looking to harness real-time data feeds and processing at scale. It is suitable for those working on event-driven architectures, building data pipelines, or developing streaming applications. Whether you are in e-commerce, finance, IoT, or any other industry requiring real-time data processing, Kafka provides the tools and capabilities to build robust and scalable streaming solutions.
